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HT06, Tagging Paper, Taxonomy, Flickr, Academic Article,ToReadby: Cameron
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AbstractIn recent years, tagging systems have become increasingly popular. These systems enable users to add keywords (i.e., “tags”) One approach to tagging has emerged in “social bookmarking” to Internet resources (e.g., web pages, images, videos) without tools where the act of tagging a resource is similar to categorizing relying on a controlled vocabulary. Tagging systems have the personal bookmarks. In this model, tags allow users to store and potential to improve search, spam detection, reputation systems, collect resources and retrieve them using the tags applied. Similar and personal organization while introducing new modalities of keyword-based systems have existed in web browsers, photo social communication and opportunities for data mining. This repository applications, and other collection management systems potential is largely due to the social structure that underlies many for many years; however, these tools have recently increased in of the current systems. popularity as elements of social interaction have been introduced, connecting individual bookmarking activities to a rich network of Despite the rapid expansion of applications that support tagging of shared tags, resources, and users. resources, tagging systems are still not well studied or understood. In this paper, we provide a short description of the academic related work to date. We offer a model of tagging systems, specifically in the context of web-based systems, to help us illustrate the possible benefits of these tools. Since many such systems already exist, we provide a taxonomy of tagging systems to help inform their analysis and design, and thus enable researchers to frame and compare evidence for the sustainability of such systems. We also provide a simple taxonomy of incentives and contribution models to inform potential evaluative frameworks. While this work does not present comprehensive empirical results, we present a preliminary study of the photo- sharing and tagging system Flickr to demonstrate our model and explore some of the issues in one sample system. This analysis helps us outline and motivate possible future directions of research in tagging systems.
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